j<ddlmZmZmZmZmZddlmZddlm Z ddl m Z ddl m Z ddlmZmZmZmZmZej(dd d e d fd eed eed ee dede eeff dZde dededeeeffdZde dededee ee gefffdZde dedefdZy ))AnyCallableOptionalTupleType)registry)Model) MXNetShim) ArgsKwargs)convert_recursiveis_mxnet_array is_xp_arraymxnet2xpxp2mxnetzMXNetWrapper.v1Nmxnetconvert_inputsconvert_outputs model_class model_namereturnc\|t}|t}||t||dt|gS)a)Wrap a MXNet model, so that it has the same API as Thinc models. To optimize the model, you'll need to create a MXNet optimizer and call optimizer.step() after each batch. Your MXNet model's forward method can take arbitrary args and kwargs, but must return either a single tensor as output or a tuple. You may find the MXNet register_forward_hook helpful if you need to adapt the output. The convert functions are used to map inputs and outputs to and from your MXNet model. Each function should return the converted output, and a callback to use during the backward pass. So: Xmxnet, get_dX = convert_inputs(X) Ymxnet, mxnet_backprop = model.shims[0](Xmxnet, is_train) Y, get_dYmxnet = convert_outputs(Ymxnet) To allow maximum flexibility, the MXNetShim expects ArgsKwargs objects on the way into the forward and backward passes. The ArgsKwargs objects will be passed straight into the model in the forward pass, and straight into `mxnet.autograd.backward` during the backward pass. )rr)attrsshims)convert_mxnet_default_inputsconvert_mxnet_default_outputsforwardr ) mxnet_modelrrrrs c/home/spazio/kingdom_calls/work5/transenv/lib/python3.12/site-packages/thinc/layers/mxnetwrapper.py MXNetWrapperr s@:57 !/OT%&  modelXis_trainc |jd}|jd}||||\} |jd||\} ||||f|\} dtdtf fd }||fS)z}Return the output of the wrapped MXNet model for the given input, along with a callback to handle the backward pass. rrrdYrc8|}|}|}|SN)r&dYmxnetdXmxnetdXget_dX get_dYmxnetmxnet_backprops rbackpropzforward..backprop>s$b/ ) G_ r!)rrr) r"r#r$rrXmxnetYmxnetYr0r-r.r/s @@@rrr3s[[!12Nkk"34O#E1h7NFF+U[[^FH=FN$UQKBNA{SS h;r!c:fd}tt||}t|trd}||fSt|trd}tt ||fSt|t t frd}tt |i|fSd}t|fi|fS)Nct|S)N) requires_grad)r)xr$s rz.convert_mxnet_default_inputs..Ms(1H=r!c,ttt|Sr()r rr)r+s rreverse_conversionz8convert_mxnet_default_inputs..reverse_conversionQs$^XwG Gr!cDttt|}|jSr()r rrkwargsr+r,s rr:z8convert_mxnet_default_inputs..reverse_conversionWs">8WEB99 r!argsr<cDttt|}|jSr(r rrr?r=s rr:z8convert_mxnet_default_inputs..reverse_conversion^s">8WEB77Nr!cJttt|}|jdS)NrrAr=s rr:z8convert_mxnet_default_inputs..reverse_conversiones">8WEB771: r!)r r isinstancer dicttuplelist)r"r#r$ xp2mxnet_ convertedr:s ` rrrJs>I!+y!)r rrr )r&r*r2s rr:z9convert_mxnet_default_outputs..reverse_conversionps'#K2> |\74KLLr!)r rrrr )r"rIr$r#r3r:r2s @rrrls>IAv.(F;AMsMzM   r!)typingrrrrrconfigr r"r rr typesr utilr rrrrlayersstrr boolrrrr)r!rrTs77UU"#*.*.$ %X&%h'%e %  %  38_ %$%P5SDU3=5I.L LL$(L :x c 12 23LD!!#!!r!